most citedLimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

CAFE: Counterfactual Prediction via Fast Posterior Estimation

Xinyan Han, Xiaoyu Lin, Hao Zou +3

Counterfactual prediction estimates an individual's outcome under an alternative intervention given their factual observations. Such outcomes are generally not identifiable from ob…

cs.AI2026

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence

Xingxuan Zhang, Gang Ren, Hao Yuan +57

We introduce LimiX-2, a new model in the LimiX family, developed through model and data scaling guided by our previously established scaling laws. LimiX-2 adopts the Contextual Mec…

cs.AI2026

Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach

Ruichao Mao, Zhou Fang, Teng Guo +9

User experience (UX) centered on usability, perceived consistency, and functional clarity is fundamental to real-world user interfaces (UI). The application of multimodal large lan…

cs.LG2026

Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning

Xinyan Han, Yan Lu, Xiaoyu Lin +5

Tabular data synthesis aims to generate high-quality data while preserving privacy. However, we find that existing tabular generative models exhibit a clear tradeoff in the small-d…

cs.LG2025★ 3 cited

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

Xingxuan Zhang, Gang Ren, Han Yu +35

We argue that progress toward general intelligence requires complementary foundation models grounded in language, the physical world, and structured data. This report presents Limi…